Anubis is one such answer [0]. Cryptocurrency and micro transactions are another.
In the last few decades, spam was a problem because the marginal transaction costs of information exchange were orders of magnitude lower than they had been. Note that physical mail spam was, and still, is an issue. Focusing on perceptual or fuzzy computation as the limiting factor, through captchas and other 'human tests', allowed for most spam to be effectively mitigated.
Now that intelligence is becoming orders of magnitude cheaper, perceptual computation challenges no longer work, but we can still do computation challenges in the form of proof of work or proxies thereof. Spam will never wholly go away but we can at least cause more friction by charging bot networks to execute in the form of energy or money.
I don't see how Anubis solves anything. If a human lets the bot control a completely vanilla computer (which there is now a lot of tooling for), then how is it going to stop that?
At most, PoW makes it a bit annoying to scale: you need to add some form of RPC that delegates solving to a beefy+cheap Hetzner server. If you're really scaling and it's getting expensive, you can rent a GPU to do batch solves.
This is awesome. I think I've heard of other research that's similar to try and speed up Navier-Stokes or other water/smoke/etc. simulation.
But this isn't actually recreating murmurations, is it? This is a neural network that's using the Reynolds criteria as a loss function, with Cavagna's topological neighbors?
As far as I know, there's no good research that reproduces the murmations seen in starling flocks. This seems like it would be a good use case for neural networks but I don't know of any publicly available 3d data of actual starling flocks, aside from some random YouTube videos floating around.
Both empirically and theoretically, verification is often much more tractable than discovery.
Software development is a highly complex task and verification becomes not just validation of the output but also verification that the work is solving the problem desired, not just the problem specified.
I'm empathetic to that scenario, but this was a problem with software development to begin with. I would much rather be in a situation of reducing friction to verification than reducing friction to discovery.
Cognitive load might be the same but now we get a potential boost in productivity for the same cost.
I only skimmed, and I was expecting a treaty on how "brand" is the new currency, but instead the thesis is the opposite:
> ... Is there some edifying lesson we can salvage from the wreckage? ... One obvious lesson is to stay away from brand. ... Sure, you might be able to make money this way ... but pushing people's brand buttons is just not a good problem to work on ...
> Go where interesting problems are, and you'll probably find that other smart and ambitious people have turned up there too. And later they'll look back on what you did together and call it a golden age.
I do feel like RSS feeds are one of the easier things to do DIY, custom to people's specific taste of how to list data of this sort. All the 'off the shelf' RSS feeds that I see feel contrived, cluttered and bloated.
It was me. I saw your post from over at lobste.rs "what are you doing this week" [0]. I've had the tab open for a couple days and I thought people over here at HN would like it (and I was right).
Anyway, thanks for the resource. I'm sure people would be interested in the parent page, "Graphics Programming Virtual Meetup" as well:
I'm sorry I don't have better statistics but after the dot-com bubble burst in 2001, I think it took roughly 15 years for the stock market to bounce back. Though I could be wrong, I think unemployment was also high, including in the tech sector.
Anubis is one such answer [0]. Cryptocurrency and micro transactions are another.
In the last few decades, spam was a problem because the marginal transaction costs of information exchange were orders of magnitude lower than they had been. Note that physical mail spam was, and still, is an issue. Focusing on perceptual or fuzzy computation as the limiting factor, through captchas and other 'human tests', allowed for most spam to be effectively mitigated.
Now that intelligence is becoming orders of magnitude cheaper, perceptual computation challenges no longer work, but we can still do computation challenges in the form of proof of work or proxies thereof. Spam will never wholly go away but we can at least cause more friction by charging bot networks to execute in the form of energy or money.
[0] https://github.com/TecharoHQ/anubis
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